Interacting Smart Composite Structures and Nano-Composites

相互作用的智能复合材料结构和纳米复合材料

• 批准号: RGPIN-2015-05110
• 负责人: Kalamkarov, Alexander
• 金额: $ 1.82万
• 依托单位: Dalhousie University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=613364
• 关键词: Interacting; Smart; Composite; Structures; Nano

The analysis of global market for composites predicts remarkable growth. The key to future competitive advantage is in development of smart composite materials and structures. This necessitates advancements in rigorous modeling and experimental techniques. Existing mechanical models are commonly based on approximations leading to wrong results for the effective and local properties. Their accurate calculation is essential for the refined analysis and optimal design. The present proposal is aimed to solve these issues. It consists of rigorous analytical and experimental studies in modeling, design and optimization, processing and testing of smart composites and nano-composites. It includes development of micromechanical models taking into account non-linearity, anisotropy, interaction, coupled fields and actuation properties of smart composites. The key advantage of smart structures is in their adaptability in interaction with the environment. They are subjected to external loading in form of distributed loads and fluid and gas interactions (i.e., air for aerospace and fluid/gas for naval and oil/gas applications). External loading causes deformations that trigger action of actuators embedded in smart structures, which in their turn influence external conditions. Therefore it is foremost important to analyze smart composites interacting with the environment. The present proposal makes a very significant innovation in considering micro-modeling in ensemble with external loading at the local unit cell scale of smart composite structures. In particular, this approach allows micromechanical modeling of interacting smart composite shells and active surfaces. These results will lead to the groundbreaking advances in the aerospace, naval and oil & gas applications. Special attention is paid to the evolving nano-composites. Quantum dots- and Quantum wires-based semiconductor nano-composites enable applications to science and technology never seen before. New rigorous micromechanical models will be developed for Quantum dot- and Quantum wire-based nano-composites and for carbon nanotube-reinforced nano-composites. These pioneering results will have a transformative value: they will change our broad understanding of the properties of emerging semiconductor nano-composites. The experimental part of present proposal will encompass processing and testing of novel carbon nanotube transversely reinforced nano-composites and smart pulturded composites with embedded piezoceramic fibers. New processing technologies will be developed to fabricate composites with optimally tailored properties. That will significantly enhance their integrity and functionality. The proposed research will represent major fundamental contribution and it will generate results of a high practical importance for the Canadian industry. It will provide excellent training for HQP.

对全球复合材料市场的分析预测将有显著的增长。未来竞争优势的关键在于智能复合材料和结构的发展。这需要在严格的建模和实验技术的进步。现有的力学模型通常基于近似，导致有效和局部性质的错误结果。它们的精确计算对于精细分析和优化设计是必不可少的。 本提案旨在解决这些问题。它包括对智能复合材料和纳米复合材料的建模，设计和优化，加工和测试的严格分析和实验研究。它包括考虑到非线性，各向异性，相互作用，耦合场和智能复合材料的致动特性的微观力学模型的发展。 智能结构的关键优势在于其与环境相互作用的适应性。它们受到分布载荷形式的外部载荷以及流体和气体相互作用（即，用于航空航天的空气和用于海军和石油/天然气应用的流体/气体）。外部载荷引起的变形触发嵌入在智能结构中的致动器的动作，这反过来又影响外部条件。因此，分析智能复合材料与环境的相互作用至关重要。 本建议是一个非常重要的创新，在考虑集成与外部加载的智能复合材料结构的局部单胞尺度的微观建模。特别是，这种方法允许相互作用的智能复合材料壳和主动表面的微机械建模。这些结果将导致在航空航天，海军和石油和天然气应用的突破性进展。 特别注意的是不断发展的纳米复合材料。基于量子点和量子线的半导体纳米复合材料使科学和技术的应用前所未有。新的严格的微观力学模型将开发量子点和量子线为基础的纳米复合材料和碳纳米管增强纳米复合材料。这些开创性的成果将具有变革性的价值：它们将改变我们对新兴半导体纳米复合材料特性的广泛理解。 本提案的实验部分将包括新型碳纳米管横向增强纳米复合材料和嵌入压电陶瓷纤维的智能拉挤复合材料的加工和测试。将开发新的加工技术来制造具有最佳定制性能的复合材料。这将大大加强其完整性和功能。 拟议的研究将代表重大的基本贡献，它将产生的结果，加拿大工业的高度实际重要性。这将为HQP提供良好的培训。